Control of Traffic Light in Isolated Intersections Using Fuzzy Neural Network and Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Frequency Control of Isolated Hybrid Power Network Using Genetic Algorithm and Particle Swarm Optimization
This paper, presents a suitable control system to manage energy in distributed power generation system with a Battery Energy Storage Station and fuel cell. First, proper Dynamic Shape Modeling is prepared. Second, control system is proposed which is based on Classic Controller. This model is educated with Genetic Algorithm and particle swarm optimization. The proposed strategy is compared with ...
متن کاملscour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network
today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...
Traffic Signal Control Using Fuzzy And Neural Network
This paper presents an adaptive traffic signal method based on fuzzy -neural networks for an isolated four-approaches intersection with through and lest-turning movements. This method has the ability to make adjustments to signal timing in response to observed changes. The “urgency degree” term, which can describe the different user’s demand for green time is used in decisionmaking by which str...
متن کاملconjunctive use of surface and ground water using fuzzy neural network and genetic algorithm
semiarid regions with their exceptional weather conditions, low precipitation, and high evapotranspiration pose a great challenge to water resources managers. one possible way to face this challenge is the conjunctive use of both surface water and groundwater resources in these regions. this paper proposes a conjunctive use model which has been implemented in najafabad plain in central iran. th...
متن کاملPredicting Shear Capacity of Panel Zone Using Neural Network and Genetic Algorithm
Investigating the behavior of the box-shaped column panel zone has been one of the major concerns of scientists in the field. In the American Institute of Steel Construction the shear capacity of I-shaped cross- sections with low column thickness is calculated. This paper determines the shear capacity of panel zone in steel columns with box-shaped cross-sections by using artificial neural netw...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer and Electrical Engineering
سال: 2013
ISSN: 1793-8163
DOI: 10.7763/ijcee.2013.v5.682